From excel to sqlite

Conversion methods

                    java -jar client-0.0.5.jar convert --output-format=sqlite file.xlsx output-dir/
                

curl -F files[]=@file.xlsx 'https://www.rebasedata.com/api/v1/convert?outputFormat=sqlite&errorResponse=zip' -o output.zip

How long does it take?

The conversion process takes between 15 seconds and multiple minutes. It depends on the size of the database.

You can also use your favourite tool

• Read Excel using PHP
• Read Excel using Python
• Read Excel using Ubuntu

Why use RebaseData?

• Strong security.
• Convert online without installing Microsoft Excel.
• Works with Windows, Mac and Linux.
• Use an API to convert your databases.
• Professional support.

Terms

• We don’t guarantee for the success or correctness of the conversion
• You are only allowed to convert your own database files
• By using RebaseData, you agree to our general terms

The ESF Database Migration Toolkit is a robust and efficient solution for migrating data between various database formats, including MS Excel and SQLite.

This guide will show you how to easily migrate data from MS Excel to SQLite through a few simple steps of a wizard, streamlining complex migration processes and saving you valuable time.

Software Required:

System Supported:

• Windows 7 or higher.
• MS Excel 97 or higher.
• SQLite 2 or higher.

Introduction:

1. In «Choose a Data Source» dialog, Choose «Microsoft Excel(*.xls;*.xlsx)»;

• Click on the «…» button.
• Choose the Microsoft Excel (.xls or .xlsx) file that you want to use as the destination for the migrated data.
  

2. In «Choose a Destination» dialog, Choose «SQLite»;

• Click «…» button to select the SQLite database file.
  

3.In «Select source Tables(s) & View(s)» dialog;

• Select the tables or views you want to migrate.
  
• You can access the table options or adjust the table structure by clicking the «…» button.
  
• In the «Field Mapping» option, you can customize the destination table’s fields, such as field name, data type, default value, comment, and more. You also have the option to choose the data transfer method, including Overwrite Table, Empty Data, Append Data, or Skip Table, or even filter the data before transferring it.

4. In «Execution» Dialog;

• You can start the migration process by clicking «Submit». The toolkit will efficiently and seamlessly migrate your data from MS Excel to SQLite without the need for manual intervention.
  
• To keep track of the migration process, you can access the full migration log by clicking «Browse Log». This will provide you with a comprehensive view of the entire migration, including any potential issues and their resolutions.
• To save time in the future, you can save the migration settings as a job file by clicking «Save as job». This allows you to quickly reload the migration job at a later time or run the migration job using the command-prompt by typing «dmtc.exe —help». The command-prompt provides you with a full list of parameters to customize the migration process to your specific needs.

5.Finished!

Upon completion, the toolkit will generate a comprehensive migration report, providing you with all the information you need to verify the accuracy and completeness of the migration process. So, you can sit back and relax while the program carries out the task efficiently. Should you have any inquiries or recommendations, don’t hesitate to reach out to us. We’re always happy to help.

Download Now »

Related Links:

Try this fresh code exceltosql:

'''
This code uses the openpyxl package for playing around with excel using Python code
to convert complete excel workbook (all sheets) to an SQLite database
The code assumes that the first row of every sheet is the column name
Every sheet is stored in a separate table
The sheet name is assigned as the table name for every sheet
'''

import sqlite3
import openpyxl
from openpyxl import load_workbook
import re

def slugify(text, lower=1):
    if lower == 1:
        text = text.strip().lower()
    text = re.sub(r'[^w _-]+', '', text)
    text = re.sub(r'[- ]+', '_', text)
    return text

#Replace with a database name
con = sqlite3.connect('test.db')
#replace with the complete path to youe excel workbook
wb = load_workbook(filename=r'abc.xlsx')

sheets = wb.get_sheet_names()

for sheet in sheets:
    ws = wb[sheet] 

    columns= []
    query = 'CREATE TABLE ' + str(slugify(sheet)) + '(ID INTEGER PRIMARY KEY AUTOINCREMENT'
    for row in ws.rows[0]:
        query += ', ' + slugify(row.value) + ' TEXT'
        columns.append(slugify(row.value))
    query += ');'

    con.execute(query)

    tup = []
    for i, rows in enumerate(ws):
        tuprow = []
        if i == 0:
            continue
        for row in rows:
            tuprow.append(unicode(row.value).strip()) if unicode(row.value).strip() != 'None' else tuprow.append('')
        tup.append(tuple(tuprow))


    insQuery1 = 'INSERT INTO ' + str(slugify(sheet)) + '('
    insQuery2 = ''
    for col in columns:
        insQuery1 += col + ', '
        insQuery2 += '?, '
    insQuery1 = insQuery1[:-2] + ') VALUES('
    insQuery2 = insQuery2[:-2] + ')'
    insQuery = insQuery1 + insQuery2

    con.executemany(insQuery, tup)
    con.commit()

con.close()